2023
Semi-Supervised Graph Ultra-Sparsifier Using Reweighted ℓ1 Optimization
ICASSP 2023accepted
Graph representation learning with the family of graph convolution networks (GCN) provides powerful tools for prediction on graphs. As graphs grow with more edges, the GCN family suffers from sub-optimal generalization performance due to task-irrelevant connections. Recent studies solve this problem…